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了解基因调控网络及其变异

Understanding Gene Regulatory Networks and Their Variations
课程网址: http://videolectures.net/nips09_koller_ugrntv/  
主讲教师: Daphne Koller
开课单位: 斯坦福大学
开课时间: 2010-01-19
课程语种: 英语
中文简介:
一个关键的生物学问题是揭示细胞系统中的调节网络,并了解该网络在个体,细胞类型和环境条件方面的变化。在本次演讲中,我将描述使用机器学习技术从基因表达数据重建基因调控网络的工作。具体而言,我们利用新形式的贝叶斯正则化回归来实现多个相关学习问题之间的转换,例如不同个体之间或不同细胞类型之间的转移。我们在两个领域展示应用:了解个体遗传变异对基因调控的影响及其对包括人类疾病在内的表型的影响;并了解免疫系统细胞分化的调节机制。
课程简介: A key biological question is to uncover the regulatory networks in a cellular system and to understand how this network varies across individuals, cell types, and environmental conditions. In this talk I will describe work that uses machine learning techniques to reconstruct gene regulatory networks from gene expression data. Specifically, we exploit novel forms of Bayesian regularized regression to enable transfer between multiple related learning problems, such as between different individuals or between different cell types. We demonstrate applications in two domains: understanding the effect of individual genetic variation on gene regulation and its effect on phenotypes including human disease; and understanding the regulatory mechanisms underling immune system cell differentiation.
关 键 词: 生物学; 机器学习; 基因
课程来源: 视频讲座网
最后编审: 2019-09-06:lxf
阅读次数: 49